Research in Models of Respiratory Control of Heart Rate.
Final rept. 3 Jan 68-16 May 70,
TEXAS UNIV AUSTIN ELECTRONICS RESEARCH CENTER
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Several mathematical techniques were applied in a study of respiratory sinus arrhythmia, the phenomenon by which respiration modulates heart rate in normal human beings and in many animals. Based on the information gained, computational algorithms were written to suppress the respiratory influence on heart rate and thus facilitate future study of other influences on beat-to-beat heart rate. Three different modeling approaches were applied. The first assumed a linear model corrupted by noise, and used the fast Fourier transform FFT to convert long segments of controlled rate breathing data into a frequency domain model. The second modeling approach assumed a general nonlinear sampled data model with the output corrupted by additive noise as well as by many nonrespiratory influences. The third modeling approach used elimination regression as an identification technique. A three-path nonlinear model was developed which simulates heart rate response to sinusoidal and step-breathing maneuvers. Author
- Anatomy and Physiology